Publications Database

Welcome to the new Schulich Peer-Reviewed Publication Database!

The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:

  • Faculty Member’s Name;
  • Area of Expertise;
  • Whether the Publication is Open-Access (free for public download);
  • Journal Name; and
  • Date Range.

At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.

If you have any questions or input, please don’t hesitate to get in touch.


Search Results

Zhang, L. Zhang, J. and Tan, J. (2017). "Network Structure, Partner Features and Performance: Evidence from Venture Capital Syndicates, forthcoming in Best Paper Proceeding", Academy of Management Annual Meeting.

View Paper

Abstract Although many research has been done to understand the consequence of network structure on performance at the firm level, we have limited knowledge regarding how network structures influence alliance performance and how they interplay with partner attributes in this process. Focusing on the venture capital (VC) syndicate networks, we argue and show evidence for the positive influences of internal network density and external network structural hole on the performance of the investee startups. Moreover, we investigate how the features of lead and non-lead VC firms interact with the two network structural variables. The findings suggest that a big syndicate team augments the benefits of cooperation and coordination from a dense internal network, but a lead VC firm with high network status strengthens the information benefits from a high level of external network structural holes. Our cross-level research offers important implications on partner selection in strategic alliance research and the roles of lead and non- lead VC firms in VC studies.